Senior Staff Machine Learning Engineer, Content Platform
4 мес. назад
United KingdomEuropeLeadHybrid
machine learning
Senior Staff Machine Learning Engineer role to build and scale machine learning systems for content understanding, safety, and decisioning at 's Content Platform.
О компании
- We design ’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably . The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at . We ensure that everything from licensed catalog
Обязанности
- Shape the machine learning strategy for content understanding and platform-level decisioning
- Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
- Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
- Design and deploy models across text, audio, image, and video domains
- Build systems that enable controlled, reliable access to content and metadata for downstream applications
- Collaborate with product, policy, trust & safety teams to operationalize content standards across platform
- Improve automation to reduce manual intervention while maintaining high standards of trust and quality
- Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design
Требования
- You have strong experience building production-grade machine learning systems at scale
- You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
- You have worked with or are interested in multimodal machine learning
- You understand how to design systems that balance automation with quality, safety, and user experience
- You are comfortable working on complex, ambiguous problems with high impact
- You think in systems, connecting models to platform-level outcomes and user experiences
- You care deeply about data quality, evaluation rigor, and system reliability
- You communicate clearly and influence across technical and non-technical teams
Другое
- This role is based in London or Stockholm
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.